Published By: Datastax
Published Date: Apr 04, 2017
As the big data ecosystem continues to expand, new technologies are addressing the requirements for managing, processing, analyzing, and storing data to help companies benefit from the rich sources of information flowing into their organizations. From NoSQL databases to open source projects to commercial products offered on-premises and in the cloud, the future of big data is being driven by innovative new approaches across the data management lifecycle. The most pressing areas include real-time data processing, interactive analysis, data integration, data governance, and security. Download this report for a better understanding of the current landscape, emerging best practices and real-world successes.
Data volumes are getting out of control, but choosing the right information lifecycle governance solution can be a huge challenge, with multiple stakeholders, numerous business processes, and extensive solution requirements. Use this requirements kit from the Compliance, Governance and Oversight Council (CGOC) to find the tools and technology you need.
The Editor interviews Deidre Paknad, Vice President of IBM’s Information Lifecycle Governance (ILG) Solutions Business, former CEO of PSS Systems, and founder of the Compliance, Governance and Oversight Council (CGOC).
Not storing data is cheaper than storing it. As enterprise data continues to grow and IT budgets remain flat, organizations need to more effectively maximize existing storage capacity and manage storage spend based on data value. In this white paper, Enterprise Strategy Group Sr. Analyst Mark Peters demonstrates how IBM's Information Lifecycle Governance solutions can help IT buyers improve the information economics for their organizations by curtailing data growth through defensible disposal of data.
Not storing data is cheaper than storing it. As enterprise data continues to grow and IT budgets remain flat, organizations need to more effectively maximize existing storage capacity and manage storage spend based on data value. In this white paper, Enterprise Strategy Group Sr. Analyst Mark Peters demonstrates how IBM's Information Lifecycle Governance solutions can help IT buyers improve the information economics for their organizations by curtailing data growth through defensible disposal of data.
This paper asks the key questions that IT, legal, records, compliance officers and corporate managers should consider when contemplating an information lifecycle governance solution, and why these elements are critical in addressing e-discovery challenges.
The worldwide growth rate of digital data is staggering. If you're a CIO or a data center administrator, data growth statistics aren't just big numbers, they are a big problem -- for your company. Email messages, social media and blog posts, text and instant messages, photos, video and audio, machine-generated data, and transactional detail are on track to overwhelm your storage capacity. Read this paper for practical advice and smarter solutions for managing the information in your organization and getting back to a position of mastery over your data.
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Data volumes are getting out of control, but choosing the right ILG solution can be a huge challenge, with multiple stakeholders, numerous business processes, and extensive solution requirements. Use this requirements kit from CGOC to find the tools and technology you need.
IBM® Information Governance Catalog helps you understand your
information and foster collaboration between business and IT by establishing
a common business vocabulary on the front end, and managing
data lineage on the back end. By leveraging the comprehensive capabilities
in Information Governance Catalog, you are better able to align IT
with your business goals.
Information Governance Catalog helps organizations build and maintain
a strong data governance and stewardship program that can turn data into
trusted information. This trusted information can be leveraged in various
information integration and governance projects, including big data integration,
master data management (MDM), lifecycle management, and
security and privacy initiatives.
In addition, Information Governance Catalog allows business users to
play an active role in information-centric projects and to collaborate with
their IT teams without the need for technical training. This level of governance
and collaboration c
